Results 231 to 240 of about 210,890 (261)
Some of the next articles are maybe not open access.
2013
I WAS RAISED IN WHAT MANY WOULD consider to be an at-risk family structure: My parents divorced when I was six months old; my mom and I lived in my grandparents’ home for eight years; and, due to financial constraints, my mom and I spent about a year living with a person she was dating.
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I WAS RAISED IN WHAT MANY WOULD consider to be an at-risk family structure: My parents divorced when I was six months old; my mom and I lived in my grandparents’ home for eight years; and, due to financial constraints, my mom and I spent about a year living with a person she was dating.
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Journal of the American Statistical Association, 1969
is a "good" one, in the sense that the residuals from fitting (1) to his illustrative data (Table 1) might credibly be a random sample from a log-normally distributed population of cost fluctuations. In fact, the residuals from his "best" fit-a = $61.59 X 106, = -0.6729-are large and systematic (Table 1, Column 6). How can a statistician best serve, in
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is a "good" one, in the sense that the residuals from fitting (1) to his illustrative data (Table 1) might credibly be a random sample from a log-normally distributed population of cost fluctuations. In fact, the residuals from his "best" fit-a = $61.59 X 106, = -0.6729-are large and systematic (Table 1, Column 6). How can a statistician best serve, in
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Estimating Learning Curves of Concept Learning
Neural Networks, 1997In this paper, we describe an approximation method which enables us to study the average generalization performance of learning directly via hypothesis testing inequalities. This unites the learning and the hypothesis testing in a common viewpoint. In particular, we investigate learning curves of a so-called ill-disposed learning algorithm, which can ...
Hanzhong Gu, Haruhisa Takahashi
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Inside the Learning Curve: Opening the Black Box of the Learning Curve
SSRN Electronic Journal, 2009The traditional learning curve asserts that organizational performance improves as a function of operating experience. The typical example is unit cost decreasing as a function of cumulative production volume. As an organization produces more it somehow “learns” to reduce unit cost.
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Learning from Productivity Learning Curves
Research-Technology Management, 2002Forecasting process productivity performance during the early phases of commercialization often underestimates learning rates associated with new platform technologies.
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Assessing the influence of expert video aid on assembly learning curves
Journal of Manufacturing Systems, 2022Andrea De Giorgio +2 more
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Machine learning invariants of arithmetic curves
Journal of Symbolic Computation, 2023, Yang-Hui He, Kyu-Hwan Lee
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